Use of Advanced Computing in Tomographic Surveys
نویسندگان
چکیده
We adopt parallel computing and adaptive mesh refinement in a class of iterative inverse solution strategies for tomographic surveys. Due to the algorithmic structure of these inverse solvers, a combination of data parallelism and task parallelism is best suited. Targeting clusters of multicore processor chips, it also justifies to use a mixture of message passing and threads. Moreover, adaptive mesh refinement is used to capture dynamic features and reduce the overall computing effort. Applications in characterizing subsurface hydraulic properties will be presented.
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